diff --git a/tutorials/1-soma_proposal_generation.ipynb b/tutorials/1-soma_proposal_generation.ipynb
index 4806b20..6b2487c 100644
--- a/tutorials/1-soma_proposal_generation.ipynb
+++ b/tutorials/1-soma_proposal_generation.ipynb
@@ -27,7 +27,7 @@
     "\n",
     "<pre style=\"background-color: darkblue; color: white; font-family: monospace;\">\n",
     "    Soma Proposal Generation Algorithm\n",
-    "        1. Detect Initial Proposals - detect_blobs()\n",
+    "        1. Generate Initial Proposals - detect_blobs()\n",
     "            a. Smooth image with Gaussian filter to reduce false positives.\n",
     "            b. Laplacian of Gaussian (LoG) to enhance regions where the\n",
     "               intensity changes dramatically (i.e. higher gradient), then\n",
@@ -101,11 +101,8 @@
    "outputs": [],
    "source": [
     "def detect_blobs(img_patch, bright_threshold, LoG_sigma, margin):\n",
-    "    # Preprocess image\n",
-    "    LoG = gaussian_laplace(img_patch, LoG_sigma)\n",
-    "\n",
-    "    # Detect local maximas\n",
     "    peaks = list()\n",
+    "    LoG = gaussian_laplace(img_patch, LoG_sigma)\n",
     "    for peak in peak_local_max(maximum_filter(LoG, 5), min_distance=5):\n",
     "        peak = tuple([int(x) for x in peak])\n",
     "        is_inbounds = spg.is_inbounds(img_patch.shape, peak, margin)\n",
@@ -161,17 +158,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Image Shape: (1, 1, 1799, 1796, 3893)\n"
+      "Image Shape: (1, 1, 1342, 1311, 2833)\n"
      ]
     }
    ],
    "source": [
     "# Parameters\n",
     "bucket_name = \"aind-open-data\"\n",
-    "brain_id = \"719654\"\n",
+    "brain_id = \"651324\"\n",
     "multiscale = 4\n",
     "\n",
-    "bright_threshold = 170\n",
+    "bright_threshold = 140\n",
     "d = 16  # image margin\n",
     "\n",
     "# Open img\n",
@@ -200,17 +197,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Reject: 359 0.6119913686012664 [1.71084195 0.79724241 1.10867517] 1.20558650779135\n",
-      "Reject: 302 0.6009024634975639 [0.82336421 0.8690589  1.1508867 ] 0.9477699368322172\n",
+      "Accept: 152 0.9224955740384835 [1.13728203 1.80122517 1.93482319] 1.6244434632309048\n",
       "\n",
-      "# Proposals: 0\n",
-      "# Rejects: 2\n",
-      "Runtime: 0.3113076686859131\n"
+      "# Proposals: 1\n",
+      "# Rejects: 0\n",
+      "Runtime: 0.2150118350982666\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 3 Axes>"
       ]
@@ -220,7 +216,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 3 Axes>"
       ]
@@ -230,7 +226,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 3 Axes>"
       ]
@@ -240,7 +236,7 @@
     },
     {
      "data": {
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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x400 with 3 Axes>"
       ]
@@ -250,7 +246,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x400 with 3 Axes>"
       ]
@@ -261,19 +257,19 @@
    ],
    "source": [
     "# Region of Interest\n",
-    "xyz = [15702.533,16509.564,10990.495]\n",
+    "xyz = [12020.796,  7976.454, 12685]\n",
     "shape = [64, 64, 64]\n",
     "\n",
     "# Read Image Patch\n",
     "voxel = img_util.to_voxels(xyz, multiscale=multiscale)\n",
     "img_patch = img_util.get_patch(img, voxel, shape, from_center=True)\n",
+    "t0 = time()\n",
     "\n",
     "# Step 1: Generate Initial Proposals\n",
-    "t0 = time()\n",
     "img_patch = gaussian_filter(img_patch, sigma=0.5)\n",
     "proposals_1, LoG_1 = detect_blobs(img_patch, bright_threshold, 8, d)\n",
     "proposals_2, LoG_2 = detect_blobs(img_patch, bright_threshold, 5, d)\n",
-    "proposals_3, LoG_3 = detect_blobs(img_patch, bright_threshold, 3.5, d)\n",
+    "proposals_3, LoG_3 = detect_blobs(img_patch, bright_threshold, 3.25, d)\n",
     "proposals = proposals_1 + proposals_2 + proposals_3\n",
     "\n",
     "# Step 2: Filter Initial Proposals\n",
@@ -292,8 +288,8 @@
     "img_util.plot_mips(img_patch[d:-d, d:-d, d:-d], clip_bool=True)\n",
     "img_util.plot_mips(proposals_img[d:-d, d:-d, d:-d])\n",
     "img_util.plot_mips(rejects_img[d:-d, d:-d, d:-d])\n",
-    "img_util.plot_mips(LoG_1[d:-d, d:-d, d:-d])\n",
-    "img_util.plot_mips(LoG_2[d:-d, d:-d, d:-d])\n"
+    "img_util.plot_mips(LoG_2[d:-d, d:-d, d:-d])\n",
+    "img_util.plot_mips(LoG_3[d:-d, d:-d, d:-d])\n"
    ]
   },
   {
@@ -314,14 +310,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Fitness Score: 0.6009024634975639\n",
-      "Parameters: [  5.65519805   2.78948253   1.65181575   0.82336421   0.8690589\n",
-      "   1.1508867  349.60069179  78.65567879]\n"
+      "Fitness Score: 0.9276839504419234\n",
+      "Parameters: [ 4.54704038  4.91658907  4.30699462  1.13674638  1.8098858   1.93505995\n",
+      " 74.24875994 72.6879718 ]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1300x500 with 2 Axes>"
       ]
@@ -434,7 +430,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  1%|          | 1/100 [00:00<00:11,  8.69it/s]"
+      "  0%|          | 0/100 [00:00<?, ?it/s]"
      ]
     },
     {
@@ -442,14 +438,14 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "# Image Patches: 256907\n"
+      "# Image Patches: 97020\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 99%|█████████▉| 99/100 [00:10<00:00,  5.71it/s]"
+      "100%|██████████| 100/100 [00:07<00:00,  3.70it/s]"
      ]
     },
     {
@@ -457,8 +453,15 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "# Proposals Generated: 21\n",
-      "Runtime: 10.833604097366333\n"
+      "# Proposals Generated: 11\n",
+      "Runtime: 7.499921083450317\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "101it [00:19,  3.70it/s]                         "
      ]
     }
    ],